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» Novel Observation Model for Probabilistic Object Tracking
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ICIP
1999
IEEE
14 years 9 months ago
Realistic 3-D Scene Modeling from Uncalibrated Image Sequences
This contribution addresses the problem of obtaining photorealistic 3D models of a scene from images alone with a structure-from-motion approach. The 3D scene is observed from mul...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
ICASSP
2010
IEEE
13 years 5 months ago
Improved single-channel speech separation using sinusoidal modeling
We present a novel single-channel separation approach to improve the separation performance while recovering the signals from a mixture. The key idea in this research is to employ...
Pejman Mowlaee, Mads Græsbøll Christe...
CVPR
2008
IEEE
14 years 9 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
CVPR
2008
IEEE
14 years 9 months ago
Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences
The paper addresses the problem of factorization-based 3D reconstruction from uncalibrated image sequences. We propose a quasi-perspective projection model and apply the model to ...
Guanghui Wang, Q. M. Jonathan Wu, Guoqiang Sun
ISMAR
2009
IEEE
14 years 2 months ago
Augmented touch without visual obtrusion
Visuo-haptic mixed reality consists of adding to a real scene the ability to see and touch virtual objects. It requires the use of seethrough display technology for visually mixin...
Francesco I. Cosco, Carlos Garre, Fabio Bruno, Mau...